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Field
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investigating how targeted interventions modulate brain networks and relate to clinical improvement in PGD. The Fellow will contribute to the development of computational brain models of grief and resilience in
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in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function verification and formal
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neuron electrophysiology as well as complex network dynamics in the context of specific perturbations. You will use these data to map the disease in terms of electrophysiological dynamics and stratify
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enhance optimization algorithms, help practitioners select the most effective algorithms, and guide the discovery of entirely new algorithms. Many of today’s most pressing challenges involve complex
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neuron electrophysiology as well as complex network dynamics in the context of specific perturbations. You will use these data to map the disease in terms of electrophysiological dynamics and stratify
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) experience with neural network training and language model fine-tuning; (2) background in natural language processing, linguistics, and/or human reasoning; (3) strong coding skills; and (4) strong
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(PISCES) with different climate change scenarios and biogeochemical model complexities over centennial and millennial timescales. This will allow you to identify the key drivers of biological carbon storage
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infrastructure; 2) network level optimization for transportation decarbonization, energy supply, and resilience planning. Certifications/Licenses Required Knowledge, Skills, and Abilities The successful candidate
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interdisciplinary environment, first-class mechanical and electronics workshops, and access to the King’s core facilities network. King’s is committed to an inclusive, supportive research culture. Researchers benefit
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as building or using AI/ML workflows, frameworks, or libraries in combination with genomics datasets. Excellent communication skills, able to present complex data to varied audiences. Highly